Starting his career as a research scientist, Harsha Rajasimha became interested in addressing the issue of clinical trial recruitment after realizing that many promising drugs were not making it to market due to recruitment delays.

To better understand the problem, he conducted interviews with 3,000 stakeholders of clinical trials, including patients, physicians, and pharmaceutical companies and found that 85% of those delays were because of recruitment issues.

Rajasimha created Jeeva Informatics, a platform that uses artificial intelligence and machine learning to identify potential candidates for clinical trials based on their medical records and other data. The platform also helps to match patients with clinical trials that are appropriate for them.

The company has had success in improving clinical trial recruitment rates, with some trials seeing a 50% increase in enrollment. Jeeva Informatics is also working to expand its platform to include a wider range of data sources and to improve the user experience for patients and physicians.

Key takeaways:

• Conducting research and gathering insights from stakeholders before building a product is critical in finding product/market fit
• Technology, such as artificial intelligence and machine learning, can play a role in addressing complex problems and improving processes. 
• Creating a product that is easy to use and meets the needs of users is important for adoption and success. 

Other resources to check out:

Interview with Vinay Bhagat, Founder and CEO of TrustRadius who publish a yearly report about how B2B buyer behavior is changing.

The Lead Gen Mistake I Guarantee You’re Making – how to create content that better identifies intent from today’s b2b buyer.

And, if you want an outside look at your content with actionable advice, take advantage of our Content Audit. Valued at $20K in free consulting.

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